1 FINITE POINT CONFIGURATIONS J´Anos Pach

Total Page:16

File Type:pdf, Size:1020Kb

1 FINITE POINT CONFIGURATIONS J´Anos Pach 1 FINITE POINT CONFIGURATIONS J´anos Pach INTRODUCTION The study of combinatorial properties of finite point configurations is a vast area of research in geometry, whose origins go back at least to the ancient Greeks. Since it includes virtually all problems starting with “consider a set of n points in space,” space limitations impose the necessity of making choices. As a result, we will restrict our attention to Euclidean spaces and will discuss problems that we find particularly important. The chapter is partitioned into incidence problems (Section 1.1), metric problems (Section 1.2), and coloring problems (Section 1.3). 1.1 INCIDENCE PROBLEMS In this section we will be concerned mainly with the structure of incidences between a finite point configuration P and a set of finitely many lines (or, more generally, k- dimensional flats, spheres, etc.). Sometimes this set consists of all lines connecting the elements of P . The prototype of such a question was raised by Sylvester [Syl93] more than one hundred years ago: Is it true that for any configuration of finitely many points in the plane, not all on a line, there is a line passing through exactly two points? This problem was rediscovered by Erd˝os [Erd43], and affirmative answers to this question was were given by Gallai and others [Ste44]. Generalizations for circles and conic sections in place of lines were established by Motzkin [Mot51] and Wilson-Wiseman [WW88], respectively. GLOSSARY Incidence: A point of configuration P lies on an element of a given collection of lines (k-flats, spheres, etc.). Simple crossing: A point incident with exactly two elements of a given collection of lines or circles. Ordinary line: A line passing through exactly two elements of a given point configuration. Ordinary circle: A circle passing through exactly three elements of a given point configuration. Ordinary hyperplane: A (d 1)-dimensional flat passing through exactly d ele- ments of a point configuration− in Euclidean d-space. Motzkin hyperplane: A hyperplane whose intersection with a given d-dimen- sional point configuration lies—with the exception of exactly one point—in a (d 2)-dimensional flat. − 3 Preliminary version (August 10, 2017). To appear in the Handbook of Discrete and Computational Geometry, J.E. Goodman, J. O'Rourke, and C. D. Tóth (editors), 3rd edition, CRC Press, Boca Raton, FL, 2017. 4 J. Pach Family of pseudolines: A family of two-way unbounded Jordan curves, any two of which have exactly one point in common, which is a proper crossing. Family of pseudocircles: A family of closed Jordan curves, any two of which have at most two points in common, at which the two curves properly cross each other. Regular family of curves: A family Γ of curves in the xy-plane defined in terms of D real parameters satisfying the following properties. There is an integer s such that (a) the dependence of the curves on x, y, and the parameters is algebraic of degree at most s; (b) no two distinct curves of Γ intersect in more than s points; (c) for any D points of the plane, there are at most s curves in Γ passing through all of them. Degrees of freedom: The smallest number D of real parameters defining a reg- ular family of curves. Spanning tree: A tree whose vertex set is a given set of points and whose edges are line segments. Spanning path: A spanning tree that is a polygonal path. Convex position: P forms the vertex set of a convex polygon or polytope. k-Set: A k-element subset of P that can be obtained by intersecting P with an open halfspace. Halving plane: A hyperplane with P /2 points of P on each side. ⌊| | ⌋ SYLVESTER-TYPE RESULTS 1. Gallai theorem (dual version): Any set of lines in the plane, not all of which pass through the same point, determines a simple crossing. This holds even for families of pseudolines [KR72]. 2. Pinchasi theorem: Any set of at least five pairwise crossing unit circles in the plane determines a simple crossing [Pin01]. Any sufficiently large set of pairwise crossing pseudocircles in the plane, not all of which pass through the same pair of points, determines an intersection point incident to at most three pseudocircles [ANP+04]. 3. Pach-Pinchasi theorem: Given n red and n blue points in the plane, not all on a line, there always exists a bichromatic line containing at most two points of each color [PP00]. Any finite set of red and blue points contains a monochromatic spanned line, but not always a monochromatic ordinary line [Cha70]. 4. Motzkin-Hansen theorem: For any finite set of points in Euclidean d-space, not all of which lie on a hyperplane, there exists a Motzkin hyperplane [Mot51, Han65]. We obtain as a corollary that n points in d-space, not all of which lie on a hyperplane, determine at least n distinct hyperplanes. (A hyperplane is determined by a point set P if its intersection with P is not contained in a (d 2)-flat.) Putting the points on two skew lines in 3-space shows that the existence− of an ordinary hyperplane cannot be guaranteed for d> 2. Preliminary version (August 10, 2017). To appear in the Handbook of Discrete and Computational Geometry, J.E. Goodman, J. O'Rourke, and C. D. Tóth (editors), 3rd edition, CRC Press, Boca Raton, FL, 2017. Chapter 1: Finite point configurations 5 If n > 8 is sufficiently large, then any set of n noncocircular points in the n 1 plane determines at least −2 distinct circles, and this bound is best possible [Ell67]. The minimum number of ordinary circles determined by n noncocir- cular points is 1 n2 O(n). Here lines are not counted as circles [LMM+17]. 4 − 5. Csima-Sawyer theorem: Any set of n noncollinear points in the plane deter- mines at least 6n/13 ordinary lines (n > 7). This bound is sharp for n = 13 and false for n = 7 [KM58, CS93]; see Figure 1.1.1. Green-Tao theorem (formerly Motzkin-Dirac conjecture): If n is sufficiently large and even, then the number of ordinary lines is at least n/2, and if n n 1 is odd, then at least 3 −4 . These bounds cannot be improved [GT13]. In 3-space, any set of n noncoplanar⌊ ⌋ points determines at least 2n/5 Motzkin hyperplanes [Han80, GS84]. FIGURE 1.1.1 Extremal examples for the (dual) Csima-Sawyer theorem: (a) 13 lines (including the line at infinity) determining only 6 simple points; (b) 7 lines determining only 3 simple points. (a) (b) 6. Orchard problem [Syl67]: What is the maximum number of collinear triples determined by n points in the plane, no four on a line? There are several constructions showing that this number is at least n2/6 O(n), which is asymptotically best possible, cf. [BGS74, FP84]. (See Figure− 1.1.2.) Green- Tao theorem [GT13]: If n is sufficiently large, then the precise value of the n(n 3) maximum is − . ⌊ 6 ⌋ FIGURE 1.1.2 L 12 points and 19 lines, each passing through exactly 3 points. 7. Dirac’s problem [Dir51]: Does there exist a constant c0 such that any set of n points in the plane, not all on a line, has an element incident to at least n/2 c connecting lines? If true, this result is best possible, as is − 0 Preliminary version (August 10, 2017). To appear in the Handbook of Discrete and Computational Geometry, J.E. Goodman, J. O'Rourke, and C. D. Tóth (editors), 3rd edition, CRC Press, Boca Raton, FL, 2017. 6 J. Pach shown by the example of n points distributed as evenly as possible on two intersecting lines. (It was believed that, apart from some small examples listed in [Gr¨u72], this statement is true with c0 = 0, until Felsner exhibited an infinite series of configurations, showing that c0 3/2; see [BMP05, p. 313].) It is known [PW14] that there is a positive constant≥ c such that one can find a point incident to at least cn connecting lines. The best known value of the constant for which this holds is c =1/37. A useful equivalent formulation of this assertion is that any set of n points in the plane, no more than n k of − which are on the same line, determines at least c′kn distinct connecting lines, for a suitable constant c′ > 0. Note that according to the d = 2 special case of the Motzkin-Hansen theorem, due to Erd˝os (see No. 4 above), for k = 1 the number of distinct connecting lines is at least n. For k = 2, the corresponding bound is 2n 4, (n 10). − ≥ 8. Ungar’s theorem [Ung82]: n noncollinear points in the plane always determine at least 2 n/2 lines of different slopes (see Figure 1.1.3); this proves Scott’s conjecture.⌊ Furthermore,⌋ any set of n points in the plane, not all on a line, permits a spanning tree, all of whose n 1 edges have different slopes [Jam87]. Pach, Pinchasi, and Sharir [PPS07] proved− Scott’s conjecture in 3 dimensions: any set of n 6 points in R3, not all of which are on a plane, determine at least 2n 5 pairwise≥ nonparallel lines if n is odd, and at least 2n 7 if n is even. This− bound is tight for every odd n. − FIGURE 1.1.3 7 points determining 6 distinct slopes. UPPER BOUNDS ON THE NUMBER OF INCIDENCES Given a set P of n points and a family Γ of m curves or surfaces, the number of incidences between them can be obtained by summing over all p P the number of elements of Γ passing through p.
Recommended publications
  • Robot Vision: Projective Geometry
    Robot Vision: Projective Geometry Ass.Prof. Friedrich Fraundorfer SS 2018 1 Learning goals . Understand homogeneous coordinates . Understand points, line, plane parameters and interpret them geometrically . Understand point, line, plane interactions geometrically . Analytical calculations with lines, points and planes . Understand the difference between Euclidean and projective space . Understand the properties of parallel lines and planes in projective space . Understand the concept of the line and plane at infinity 2 Outline . 1D projective geometry . 2D projective geometry ▫ Homogeneous coordinates ▫ Points, Lines ▫ Duality . 3D projective geometry ▫ Points, Lines, Planes ▫ Duality ▫ Plane at infinity 3 Literature . Multiple View Geometry in Computer Vision. Richard Hartley and Andrew Zisserman. Cambridge University Press, March 2004. Mundy, J.L. and Zisserman, A., Geometric Invariance in Computer Vision, Appendix: Projective Geometry for Machine Vision, MIT Press, Cambridge, MA, 1992 . Available online: www.cs.cmu.edu/~ph/869/papers/zisser-mundy.pdf 4 Motivation – Image formation [Source: Charles Gunn] 5 Motivation – Parallel lines [Source: Flickr] 6 Motivation – Epipolar constraint X world point epipolar plane x x’ x‘TEx=0 C T C’ R 7 Euclidean geometry vs. projective geometry Definitions: . Geometry is the teaching of points, lines, planes and their relationships and properties (angles) . Geometries are defined based on invariances (what is changing if you transform a configuration of points, lines etc.) . Geometric transformations
    [Show full text]
  • COMBINATORICS, Volume
    http://dx.doi.org/10.1090/pspum/019 PROCEEDINGS OF SYMPOSIA IN PURE MATHEMATICS Volume XIX COMBINATORICS AMERICAN MATHEMATICAL SOCIETY Providence, Rhode Island 1971 Proceedings of the Symposium in Pure Mathematics of the American Mathematical Society Held at the University of California Los Angeles, California March 21-22, 1968 Prepared by the American Mathematical Society under National Science Foundation Grant GP-8436 Edited by Theodore S. Motzkin AMS 1970 Subject Classifications Primary 05Axx, 05Bxx, 05Cxx, 10-XX, 15-XX, 50-XX Secondary 04A20, 05A05, 05A17, 05A20, 05B05, 05B15, 05B20, 05B25, 05B30, 05C15, 05C99, 06A05, 10A45, 10C05, 14-XX, 20Bxx, 20Fxx, 50A20, 55C05, 55J05, 94A20 International Standard Book Number 0-8218-1419-2 Library of Congress Catalog Number 74-153879 Copyright © 1971 by the American Mathematical Society Printed in the United States of America All rights reserved except those granted to the United States Government May not be produced in any form without permission of the publishers Leo Moser (1921-1970) was active and productive in various aspects of combin• atorics and of its applications to number theory. He was in close contact with those with whom he had common interests: we will remember his sparkling wit, the universality of his anecdotes, and his stimulating presence. This volume, much of whose content he had enjoyed and appreciated, and which contains the re• construction of a contribution by him, is dedicated to his memory. CONTENTS Preface vii Modular Forms on Noncongruence Subgroups BY A. O. L. ATKIN AND H. P. F. SWINNERTON-DYER 1 Selfconjugate Tetrahedra with Respect to the Hermitian Variety xl+xl + *l + ;cg = 0 in PG(3, 22) and a Representation of PG(3, 3) BY R.
    [Show full text]
  • Performance Evaluation of Genetic Algorithm and Simulated Annealing in Solving Kirkman Schoolgirl Problem
    FUOYE Journal of Engineering and Technology (FUOYEJET), Vol. 5, Issue 2, September 2020 ISSN: 2579-0625 (Online), 2579-0617 (Paper) Performance Evaluation of Genetic Algorithm and Simulated Annealing in solving Kirkman Schoolgirl Problem *1Christopher A. Oyeleye, 2Victoria O. Dayo-Ajayi, 3Emmanuel Abiodun and 4Alabi O. Bello 1Department of Information Systems, Ladoke Akintola University of Technology, Ogbomoso, Nigeria 2Department of Computer Science, Ladoke Akintola University of Technology, Ogbomoso, Nigeria 3Department of Computer Science, Kwara State Polytechnic, Ilorin, Nigeria 4Department of Mathematical and Physical Sciences, Afe Babalola University, Ado-Ekiti, Nigeria [email protected]|[email protected]|[email protected]|[email protected] Received: 15-FEB-2020; Reviewed: 12-MAR-2020; Accepted: 28-MAY-2020 http://dx.doi.org/10.46792/fuoyejet.v5i2.477 Abstract- This paper provides performance evaluation of Genetic Algorithm and Simulated Annealing in view of their software complexity and simulation runtime. Kirkman Schoolgirl is about arranging fifteen schoolgirls into five triplets in a week with a distinct constraint of no two schoolgirl must walk together in a week. The developed model was simulated using MATLAB version R2015a. The performance evaluation of both Genetic Algorithm (GA) and Simulated Annealing (SA) was carried out in terms of program size, program volume, program effort and the intelligent content of the program. The results obtained show that the runtime for GA and SA are 11.23sec and 6.20sec respectively. The program size for GA and SA are 2.01kb and 2.21kb, respectively. The lines of code for GA and SA are 324 and 404, respectively. The program volume for GA and SA are 1121.58 and 3127.92, respectively.
    [Show full text]
  • Blocking Set Free Configurations and Their Relations to Digraphs and Hypergraphs
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector DISCRETE MATHEMATICS ELSIZI’IER Discrete Mathematics 1651166 (1997) 359.-370 Blocking set free configurations and their relations to digraphs and hypergraphs Harald Gropp* Mihlingstrasse 19. D-69121 Heidelberg, German> Abstract The current state of knowledge concerning the existence of blocking set free configurations is given together with a short history of this problem which has also been dealt with in terms of digraphs without even dicycles or 3-chromatic hypergraphs. The question is extended to the case of nonsymmetric configurations (u,, b3). It is proved that for each value of I > 3 there are only finitely many values of u for which the existence of a blocking set free configuration is still unknown. 1. Introduction In the language of configurations the existence of blocking sets was investigated in [3, 93 for the first time. Further papers [4, 201 yielded the result that the existence problem for blocking set free configurations v3 has been nearly solved. There are only 8 values of v for which it is unsettled whether there is a blocking set free configuration ~7~:u = 15,16,17,18,20,23,24,26. The existence of blocking set free configurations is equivalent to the existence of certain hypergraphs and digraphs. In these two languages results have been obtained much earlier. In Section 2 the relations between configurations, hypergraphs, and digraphs are exhibited. Furthermore, a nearly forgotten result of Steinitz is described In his dissertation of 1894 Steinitz proved the existence of a l-factor in a regular bipartite graph 20 years earlier then Kiinig.
    [Show full text]
  • Self-Dual Configurations and Regular Graphs
    SELF-DUAL CONFIGURATIONS AND REGULAR GRAPHS H. S. M. COXETER 1. Introduction. A configuration (mci ni) is a set of m points and n lines in a plane, with d of the points on each line and c of the lines through each point; thus cm = dn. Those permutations which pre­ serve incidences form a group, "the group of the configuration." If m — n, and consequently c = d, the group may include not only sym­ metries which permute the points among themselves but also reci­ procities which interchange points and lines in accordance with the principle of duality. The configuration is then "self-dual," and its symbol («<*, n<j) is conveniently abbreviated to na. We shall use the same symbol for the analogous concept of a configuration in three dimensions, consisting of n points lying by d's in n planes, d through each point. With any configuration we can associate a diagram called the Menger graph [13, p. 28],x in which the points are represented by dots or "nodes," two of which are joined by an arc or "branch" when­ ever the corresponding two points are on a line of the configuration. Unfortunately, however, it often happens that two different con­ figurations have the same Menger graph. The present address is concerned with another kind of diagram, which represents the con­ figuration uniquely. In this Levi graph [32, p. 5], we represent the points and lines (or planes) of the configuration by dots of two colors, say "red nodes" and "blue nodes," with the rule that two nodes differently colored are joined whenever the corresponding elements of the configuration are incident.
    [Show full text]
  • Geometry and Dynamics of Configuration Spaces Mickaël Kourganoff
    Geometry and dynamics of configuration spaces Mickaël Kourganoff To cite this version: Mickaël Kourganoff. Geometry and dynamics of configuration spaces. Differential Geometry [math.DG]. Ecole normale supérieure de lyon - ENS LYON, 2015. English. NNT : 2015ENSL1049. tel-01250817 HAL Id: tel-01250817 https://tel.archives-ouvertes.fr/tel-01250817 Submitted on 5 Jan 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. These` en vue de l’obtention du grade de Docteur de l’Universit´ede Lyon, d´elivr´epar l’Ecole´ Normale Sup´erieurede Lyon Discipline : Math´ematiques pr´esent´eeet soutenue publiquement le 4 d´ecembre 2015 par Micka¨el Kourganoff G´eom´etrieet dynamique des espaces de configuration Directeur de th`ese: Abdelghani Zeghib Devant la commission d’examen form´eede : Viviane Baladi (Universit´ePierre et Marie Curie, Paris), examinatrice Thierry Barbot (Universit´ed’Avignon), rapporteur G´erard Besson (Universit´ede Grenoble), examinateur Etienne´ Ghys( Ecole´ Normale Sup´erieure de Lyon), examinateur Boris Hasselblatt (Tufts University), rapporteur Mark Pollicott (University of Warwick), rapporteur BrunoS evennec´ ( Ecole´ Normale Sup´erieure de Lyon), examinateur Abdelghani Zeghib( Ecole´ Normale Sup´erieure de Lyon), directeur Unit´ede Math´ematiques Pures et Appliqu´ees– Ecole´ doctorale InfoMaths 2 Remerciements Mes premiers remerciements vont `aGhani, qui m’a fait d´ecouvrir un sujet passionnant, riche et original, et m’a laiss´eune grande libert´e,tout en sachant s’impliquer dans le d´etaild`esque n´ecessaire.
    [Show full text]
  • Intel® MAX® 10 FPGA Configuration User Guide
    Intel® MAX® 10 FPGA Configuration User Guide Subscribe UG-M10CONFIG | 2021.07.02 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Intel® MAX® 10 FPGA Configuration Overview................................................................ 4 2. Intel MAX 10 FPGA Configuration Schemes and Features...............................................5 2.1. Configuration Schemes..........................................................................................5 2.1.1. JTAG Configuration.................................................................................... 5 2.1.2. Internal Configuration................................................................................ 6 2.2. Configuration Features.........................................................................................13 2.2.1. Remote System Upgrade...........................................................................13 2.2.2. Configuration Design Security....................................................................20 2.2.3. SEU Mitigation and Configuration Error Detection........................................ 24 2.2.4. Configuration Data Compression................................................................ 27 2.3. Configuration Details............................................................................................ 28 2.3.1. Configuration Sequence............................................................................ 28 2.3.2. Intel MAX 10 Configuration Pins................................................................
    [Show full text]
  • 21 TOPOLOGICAL METHODS in DISCRETE GEOMETRY Rade T
    21 TOPOLOGICAL METHODS IN DISCRETE GEOMETRY Rade T. Zivaljevi´cˇ INTRODUCTION A problem is solved or some other goal achieved by “topological methods” if in our arguments we appeal to the “form,” the “shape,” the “global” rather than “local” structure of the object or configuration space associated with the phenomenon we are interested in. This configuration space is typically a manifold or a simplicial complex. The global properties of the configuration space are usually expressed in terms of its homology and homotopy groups, which capture the idea of the higher (dis)connectivity of a geometric object and to some extent provide “an analysis properly geometric or linear that expresses location directly as algebra expresses magnitude.”1 Thesis: Any global effect that depends on the object as a whole and that cannot be localized is of homological nature, and should be amenable to topological methods. HOW IS TOPOLOGY APPLIED IN DISCRETE GEOMETRIC PROBLEMS? In this chapter we put some emphasis on the role of equivariant topological methods in solving combinatorial or discrete geometric problems that have proven to be of relevance for computational geometry and topological combinatorics and with some impact on computational mathematics in general. The versatile configuration space/test map scheme (CS/TM) was developed in numerous research papers over the years and formally codified in [Ziv98].ˇ Its essential features are summarized as follows: CS/TM-1: The problem is rephrased in topological terms. The problem should give us a clue how to define a “natural” configuration space X and how to rephrase the question in terms of zeros or coincidences of the associated test maps.
    [Show full text]
  • Arxiv:1712.00299V1 [Math.GT]
    POLYGONS WITH PRESCRIBED EDGE SLOPES: CONFIGURATION SPACE AND EXTREMAL POINTS OF PERIMETER JOSEPH GORDON, GAIANE PANINA, YANA TEPLITSKAYA Abstract. We describe the configuration space S of polygons with pre- scribed edge slopes, and study the perimeter as a Morse function on S. We characterize critical points of (these areP tangential polygons) and compute their Morse indices. ThisP setup is motivated by a number of re- sults about critical points and Morse indices of the oriented area function defined on the configuration space of polygons with prescribed edge lengths (flexible polygons). As a by-product, we present an independent computa- tion of the Morse index of the area function (obtained earlier by G. Panina and A. Zhukova). 1. Introduction Consider the space L of planar polygons with prescribed edge lengths1 and the oriented area as a Morse function defined on it. It is known that gener- ically: A L is a smooth closed manifold whose diffeomorphic type depends on • the edge lengths [1, 2]. The oriented area is a Morse function whose critical points are cyclic • configurations (thatA is, polygons with all the vertices lying on a cir- cle), whose Morse indices are known, see Theorem 2, [3, 5, 6]. The Morse index depends not only on the combinatorics of a cyclic poly- arXiv:1712.00299v1 [math.GT] 1 Dec 2017 gon, but also on some metric data. Direct computations of the Morse index proved to be quite involved, so the existing proof comes from bifurcation analysis combined with a number of combinatorial tricks. Bifurcations of are captured by cyclic polygons P whose dual poly- • gons P ∗ have zeroA perimeter [5]; see also Lemma 4.
    [Show full text]
  • Cyclone III Device Handbook Volume 1. Chapter 9. Configuration
    9. Configuration, Design Security, and Remote System Upgrades in the August 2012 CIII51016-2.2 Cyclone III Device Family CIII51016-2.2 This chapter describes the configuration, design security, and remote system upgrades in Cyclone® III devices. The Cyclone III device family (Cyclone III and Cyclone III LS devices) uses SRAM cells to store configuration data. Configuration data must be downloaded to Cyclone III device family each time the device powers up because SRAM memory is volatile. The Cyclone III device family is configured using one of the following configuration schemes: ■ Fast Active serial (AS) ■ Active parallel (AP) for Cyclone III devices only ■ Passive serial (PS) ■ Fast passive parallel (FPP) ■ Joint Test Action Group (JTAG) All configuration schemes use an external configuration controller (for example, MAX® II devices or a microprocessor), a configuration device, or a download cable. The Cyclone III device family offers the following configuration features: ■ Configuration data decompression ■ Design security (for Cyclone III LS devices only) ■ Remote system upgrade As Cyclone III LS devices play a role in larger and more critical designs in competitive commercial and military environments, it is increasingly important to protect your designs from copying, reverse engineering, and tampering. Cyclone III LS devices address these concerns with 256-bit advanced encryption standard (AES) programming file encryption and anti-tamper feature support to prevent tampering. For more information about the design security feature in Cyclone III LS devices, refer to “Design Security” on page 9–70. System designers face difficult challenges such as shortened design cycles, evolving standards, and system deployments in remote locations.
    [Show full text]
  • Tur\'An's Theorem for the Fano Plane
    TURÁN’S THEOREM FOR THE FANO PLANE LOUIS BELLMANN AND CHRISTIAN REIHER Abstract. Confirming a conjecture of Vera T. Sós in a very strong sense, we give a complete solution to Turán’s hypergraph problem for the Fano plane. That is we prove for n ¥ 8 that among all 3-uniform hypergraphs on n vertices not containing the Fano plane there is indeed exactly one whose number of edges is maximal, namely the balanced, complete, bipartite hypergraph. Moreover, for n “ 7 there is exactly one other extremal configuration with the same number of edges: the hypergraph arising from a clique of order 7 by removing all five edges containing a fixed pair of vertices. For sufficiently large values n this was proved earlier by Füredi and Simonovits, and by Keevash and Sudakov, who utilised the stability method. §1. Introduction With his seminal work [22], Turán initiated extremal graph theory as a separate subarea of combinatorics. After proving his well known extremal result concerning graphs not containing a clique of fixed order, he proposed to study similar problems for graphs arising from platonic solids and for hypergraphs. For instance, given a 3-uniform hypergraph F and a natural number n, there arises the question to determine the largest number expn, F q of edges that a 3-uniform hypergraph H can have without containing F as a subhypergraph. Here a 3-uniform hypergraph H “ pV, Eq consists of a set V of vertices and a collec- tion E Ď V p3q “ te Ď V : |e| “ 3u of 3-element subsets of V , that are called the edges of H.
    [Show full text]
  • The Second Hull of a Knotted Curve
    The Second Hull of a Knotted Curve 1, 2, 3, 4, Jason Cantarella, ∗ Greg Kuperberg, y Robert B. Kusner, z and John M. Sullivan x 1Department of Mathematics, University of Georgia, Athens, GA 30602 2Department of Mathematics, University of California, Davis, CA 95616 3Department of Mathematics, University of Massachusetts, Amherst, MA 01003 4Department of Mathematics, University of Illinois, Urbana, IL 61801 (Dated: May 5, 2000; revised April 4, 2002) The convex hull of a set K in space consists of points which are, in a certain sense, “surrounded” by K. When K is a closed curve, we define its higher hulls, consisting of points which are “multiply surrounded” by the curve. Our main theorem shows that if a curve is knotted then it has a nonempty second hull. This provides a new proof of the Fary/Milnor´ theorem that every knotted curve has total curvature at least 4π. A space curve must loop around at least twice to become knotted. This intuitive idea was captured in the celebrated Fary/Milnor´ theorem, which says the total curvature of a knot- ted curve K is at least 4π. We prove a stronger result: that there is a certain region of space doubly enclosed, in a precise sense, by K. We call this region the second hull of K. The convex hull of a connected set K is characterized by the fact that every plane through a point in the hull must in- teresect K. If K is a closed curve, then a generic plane inter- sects K an even number of times, so the convex hull is the set of points through which every plane cuts K twice.
    [Show full text]